# Claw Memory

> Use this tool when you need to persistently store and retrieve information in Claude.ai, solving problems of data loss and inconsistency. It takes in commands to list, read, and append files, and outputs the corresponding data, all while integrating seamlessly with Obsidian vaults on GitHub. Ideal for use cases requiring long-term data management and retrieval in AI workflows.

Canonical page: https://skillsregistry.net/skills/aayuushh365-claw-memory  
JSON: https://api.skillsregistry.net/v1/skills/aayuushh365-claw-memory

## Description

Claw Memory enables Claude.ai to persistently store and retrieve information by managing an Obsidian vault stored on GitHub. It exposes three MCP tools for listing vault files, reading existing content, and safely appending new entries with deduplication. Deployed on Vercel, it integrates as a custom connector in Claude.ai's settings using streamable-HTTP transport.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aayuushh365-claw-memory)
- **Repository:** <https://github.com/aayuushh365/clawmemory-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aayuushh365-claw-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aayuushh365-claw-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aayuushh365-claw-memory/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt